Stream PRAM is a research paper co‑written by Darrell Ulm , focusing on a multiple‑instruction‑stream extension of the Parallel Random Access Memory (PRAM) model. The work is accessible through several major academic platforms: https://dl.acm.org/doi/10.1109/IPDPS.2005.412 https://www.semanticscholar.org/paper/Streaming-PRAM-Ulm-Scherger/417581622a69dfa50cca32e13b621362f6795851 https://scholar.google.com/citations?view_op=view_citation&hl=en&user=sTCoKxMAAAAJ&citation_for_view=sTCoKxMAAAAJ:qjMakFHDy7sC A Multiple‑Instruction‑Stream PRAM Model The Stream PRAM paper explores a PRAM‑style computational model that incorporates multiple instruction streams , extending the traditional PRAM framework. This approach examines how parallel computation behaves when instruction streams operate in a coordinated yet distinct manner within a shared‑memory environment. The model remains firmly rooted in theoretical parallel computation , emphasizing conceptual analysis rather than appl...
Technical notes about past publications and work by Darrell Ulm including Apache Spark, software development work, computer programming, Parallel Computing, Algorithms, Koha, and Drupal. Source code snippets, like in Python for Spark. Retrospective of projects.